MCP ExplorerExplorer

Mcp Snowflake Server

@isaacwassermanon a year ago
92 GPL-3.0
FreeCommunity
AI Systems
mcp-snowflake-server 是一个用于与 Snowflake 数据库交互的模型上下文协议服务器。它允许用户执行 SQL 查询、管理表格,并维护一个动态的数据洞察备忘录,该备忘录会随着新发现自动更新,从而提高数据分析效率。

Overview

What is Mcp Snowflake Server

mcp-snowflake-server is an implementation of a Model Context Protocol (MCP) server that facilitates database interactions with Snowflake, allowing users to run SQL queries and interact with a memo of data insights.

Use cases

Use cases for mcp-snowflake-server include data analysis, reporting, and database management where users need to extract insights from Snowflake databases efficiently.

How to use

To use mcp-snowflake-server, install it via Smithery or UVX by configuring your claude_desktop_config.json file with the necessary parameters such as account, warehouse, user, password, role, database, and schema.

Key features

Key features include dynamic resource exposure for insights, tools for executing read and write SQL queries, creating tables, listing tables, describing table schemas, and appending new insights to the memo resource.

Where to use

undefined

Content

MseeP.ai Security Assessment Badge

Snowflake MCP Server

smithery badge PyPI - Version


Overview

A Model Context Protocol (MCP) server implementation that provides database interaction with Snowflake. This server enables running SQL queries via tools and exposes data insights and schema context as resources.


Components

Resources

  • memo://insights
    A continuously updated memo aggregating discovered data insights.
    Updated automatically when new insights are appended via the append_insight tool.

  • context://table/{table_name}
    (If prefetch enabled) Per-table schema summaries, including columns and comments, exposed as individual resources.


Tools

The server exposes the following tools:

Query Tools

  • read_query
    Execute SELECT queries to read data from the database.
    Input:

    • query (string): The SELECT SQL query to execute
      Returns: Query results as array of objects
  • write_query (enabled only with --allow-write)
    Execute INSERT, UPDATE, or DELETE queries.
    Input:

    • query (string): The SQL modification query
      Returns: Number of affected rows or confirmation
  • create_table (enabled only with --allow-write)
    Create new tables in the database.
    Input:

    • query (string): CREATE TABLE SQL statement
      Returns: Confirmation of table creation

Schema Tools

  • list_databases
    List all databases in the Snowflake instance.
    Returns: Array of database names

  • list_schemas
    List all schemas within a specific database.
    Input:

    • database (string): Name of the database
      Returns: Array of schema names
  • list_tables
    List all tables within a specific database and schema.
    Input:

    • database (string): Name of the database
    • schema (string): Name of the schema
      Returns: Array of table metadata
  • describe_table
    View column information for a specific table.
    Input:

    • table_name (string): Fully qualified table name (database.schema.table)
      Returns: Array of column definitions with names, types, nullability, defaults, and comments

Analysis Tools

  • append_insight
    Add new data insights to the memo resource.
    Input:
    • insight (string): Data insight discovered from analysis
      Returns: Confirmation of insight addition
      Effect: Triggers update of memo://insights resource

Usage with Claude Desktop

Installing via Smithery

To install Snowflake Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install mcp_snowflake_server --client claude

Installing via UVX


Installing Locally

  1. Install Claude AI Desktop App

  2. Install uv:

curl -LsSf https://astral.sh/uv/install.sh | sh
  1. Create a .env file with your Snowflake credentials:
SNOWFLAKE_USER="xxx@your_email.com"
SNOWFLAKE_ACCOUNT="xxx"
SNOWFLAKE_ROLE="xxx"
SNOWFLAKE_DATABASE="xxx"
SNOWFLAKE_SCHEMA="xxx"
SNOWFLAKE_WAREHOUSE="xxx"
SNOWFLAKE_PASSWORD="xxx"
# Alternatively, use external browser authentication:
# SNOWFLAKE_AUTHENTICATOR="externalbrowser"
  1. [Optional] Modify runtime_config.json to set exclusion patterns for databases, schemas, or tables.

  2. Test locally:

uv --directory /absolute/path/to/mcp_snowflake_server run mcp_snowflake_server
  1. Add the server to your claude_desktop_config.json:

Notes

  • By default, write operations are disabled. Enable them explicitly with --allow-write.
  • The server supports filtering out specific databases, schemas, or tables via exclusion patterns.
  • The server exposes additional per-table context resources if prefetching is enabled.
  • The append_insight tool updates the memo://insights resource dynamically.

License

MIT

Tools

No tools

Comments

Recommend MCP Servers

View All MCP Servers